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Keywords: neural network
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Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34632-MS
.... structural geology geologist gas injection method waterflooding neural network artificial intelligence reservoir characterization multi-objective optimization endpoint accuracy optimization problem enhanced recovery co 2 optimization algorithm numerical simulator optimization climate change...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34653-MS
... to assess CO2 trapping efficiency. Additionally, Artificial Neural Network (ANN), a deep learning tool was also developed and tested. The developed ML models demonstrated promising results for predicting trapping indices in saline aquifers, with correlation factor R 2 > 0.9. Moreover, partial dependance...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34673-MS
... in the South China Sea and dynamic analysis data from the OrcaFlex software, the study employs an enhanced Backpropagation (BP) neural network and Bayesian Optimization method for multi-objective iterative optimization under specific target functions, achieving an optimal overall design for the ultra-deepwater...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34756-MS
... environmental impact. detection accuracy neural network emission deep learning machine learning footage deep learning image processing model estimation architecture algorithm video footage deployment methane emission artificial intelligence leak leak detection tdlp-ng Introduction...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34741-MS
... it critical to have a method to measure and correct or compensate for the ECC effects in order to obtain a reliable cement bond log. The research study presented in this paper covers a real-time ECC correction algorithm for cement log data using neural networks. The scope covers the design, implementation...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34894-MS
.... This study developed a Dual-Input GRU Neural Network (Di-GRU) capable of end-to-end prediction, thereby circumventing the need to consider complex underlying mechanisms. The model consists of a time series sub-network and a non-time series subnetwork. The time series sub-network inputs features...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, February 27–March 1, 2024
Paper Number: OTC-34917-MS
... generation offers a sustainable means to reduce carbon footprint while delivering electricity. sedimentary rock clastic rock neural network sedimentary geology co2 co2 plume geothermal power production co2 storage reservoir structural geology sedimentology artificial intelligence co2...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31493-MS
... Artificial Neural Network (ANN) was found to provide the best model to predict the Base Shear Collapse, and hence the RSR for a typical jacket platform. The ANN model was incorporated into the IGUSA tool for deployment within PETRONAS. It is envisaged that IGUSA will be a valuable rapid screening tool...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31480-MS
... behavior assessments of other nearshore floating structures such as Floating Offshore Liquefied Gas Terminals (FLGTs), Floating Storage and Regasification Units (FSRUs), and floating wind turbine structures. simulation of human behavior artificial intelligence liquified natural gas neural network...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31529-MS
... and effort, particularly for large volumes of 3D seismic surveys. Thus, there is a need to develop automatic processing techniques to improve the efficiency and effectiveness of seismic interpretation. Abstract This study presents a novel neural network model to explore its application in automatically...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31376-MS
... be a label in the training dataset. In this study, the surface drilling data is first collected from multiple agencies to enhance the training dataset. Subsequently, a supervised machine learning algorithm with ordinary binary classification methodologies, such as support vector machines and neural networks...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31419-MS
... values and clay volumes. Deep convolutional neural networks have been utilized in this image classification process. Deep networks extract low, middle, and high-level features and classifiers in an end-to-end multi-layer fashion, and the number of stacked layers used enrich the "levels" of features...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31612-MS
... of similar AI methods throughout the oil and gas industry. artificial lift system neural network artificial intelligence testing sample esp module accuracy deployment workflow deep learning model data mining machine learning upstream oil & gas deep learning esp critical event...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31631-MS
.... Convolutional neural networks (CNNs) are used in many fields, especially for image processing and features recognition. On the other hand, genetic algorithms (GA) add a valuable benefit to data processing in terms of global search and optimization. This paper demonstrates the integration of ML techniques...
Proceedings Papers

Paper presented at the Offshore Technology Conference Asia, March 22–25, 2022
Paper Number: OTC-31669-MS
... technology. Intermittent pumping control mode sustainable development sustainability real time system social responsibility machine learning neural network artificial intelligence upstream oil & gas energy consumption oil well decision-making cycle efficiency edge optimization...

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